Responsibilities
- Define, plan, and conduct research revealing how users engage with AI assistants, multimodal devices, and partner ecosystems.
- Deliver evidence-based insights guiding Spotifys Partner AI roadmap influencing integrations, UX, and product direction.
- Investigate emerging behaviours and expectations around agentic, voice-first, and multimodal interactions, translating ambiguity into clarity.
- Collaborate with Product, Design, Data Science, and Engineering to ensure AI experiences are human-centred and grounded in real needs.
- Represent research in conversations with cross functional leads and senior executives from Spotify and partner organizations.
- Synthesise user research findings with partner insights for experiences across platforms like Google, Meta, and Apple.
- Communicate findings through storytelling, visuals, and workshops to encourage action and drive alignment.
- Mentor peers and help evolve Spotifys research capabilities in AI.
Requirements
- Extensive user research experience with a degree or equivalent in Human-Computer Interaction, Cognitive Psychology, AI Interaction, or Social Science.
- Skilled in ethnography, contextual inquiry, usability testing, concept testing, and blending them with quantitative or behavioural data.
- Curious about AI-mediated experiences and passionate about understanding human adaptation to technology.
- Comfortable navigating ambiguity and breaking down unstructured challenges into actionable plans.
- Strong storytelling and communication skills, comfortable with senior audiences and dynamic discussions.
- Preferred experience in partnered or cross-ecosystem environments bridging internal goals with external constraints.
- Self-starter balancing near-term delivery with long-term vision in emerging technologies.
- Strong system thinker with deep UX expertise influencing scalable, cohesive partner experiences.
Location and Work Mode
- Role based in London or Stockholm with flexibility to work from home.
- Some in-person meetings and partner related travel expected.
- Some flexibility required for early starts or late meetings across global time zones.
